Background: Neurofibromatosis type 1 (NF1) is related to a generally increased prevalence of seizures. The mechanism underlying the increased predisposition to seizures has not been fully elucidated. The aim of the study was to evaluate the role of NF1 in seizures pathogenesis in a cohort of children with NF1 and seizures.
Methods: The medical records of 437 children (0-18 years old) with NF1 were reviewed. All children with at least one afebrile seizure were included. Demographic, clinical, neurological, NF1 mutation status, and EEG data were collected along with brain magnetic resonance imaging. Depending on etiology, structural seizures have been identified and were further classified as NF1 related or not.
Results: Nineteen patients (4.3%; 13 males) were included. NF1 was inherited in 7 (37.5%), with 3 maternal forms. Ten children with structural seizures were identified. Seven forms were identified someway related to NF1, two of which were associated to 17q11.2 microdeletion and hypoxic-ischemic encephalopathy. Any brain lesion that could explain seizures was found in nine patients, two third of these patients had a familiar history of epilepsy.
Conclusions: Our results suggest seizures are more frequent in NF1 children (4.3%) than in general pediatric population (0.3-0.5%) and that are someway related to NF1 in half of patients. Facing seizures in NF1, the clinician should first exclude brain tumors but also other, and rarer NF1-related scenarios, such as hydrocephalous and vasculopathies. Children with non-structural seizures frequently had a family history of epilepsy, raising questions about the pathogenic role of NF1. They should be approached as for the general population.
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http://dx.doi.org/10.1186/s13052-018-0477-x | DOI Listing |
JAMIA Open
February 2025
Institute for Informatics, Data Science and Biostatistics, Washington University, Saint Louis, MO 63110, United States.
Objective: Dimensionality reduction techniques aim to enhance the performance of machine learning (ML) models by reducing noise and mitigating overfitting. We sought to compare the effect of different dimensionality reduction methods for comorbidity features extracted from electronic health records (EHRs) on the performance of ML models for predicting the development of various sub-phenotypes in children with Neurofibromatosis type 1 (NF1).
Materials And Methods: EHR-derived data from pediatric subjects with a confirmed clinical diagnosis of NF1 were used to create 10 unique comorbidities code-derived feature sets by incorporating dimensionality reduction techniques using raw International Classification of Diseases codes, Clinical Classifications Software Refined, and Phecode mapping schemes.
Radiol Case Rep
March 2025
Radiology Department, University Hospital Center of Souss Massa, Faculty of Medicine and Pharmacy, Ibn Zohr Agadir University, Agadir, Morocco.
Fibromuscular Dysplasia (FMD) is a nonatherosclerotic, noninflammatory vascular disorder predominantly affecting women aged 18 to 65 years. This case report highlights a 74-year-old female diagnosed with FMD incidentally during evaluation for deep vein thrombosis (DVT). Imaging revealed significant vascular anomalies, including a giant intracranial carotid aneurysm and a hypoplastic iliac vein with extensive collateral formation.
View Article and Find Full Text PDFSyst Rev
January 2025
Department of Behavioral Sciences and Social Medicine, College of Medicine, Florida State University, 1115 West Call Street, Tallahassee, FL, 32306-4300, USA.
Background: Individuals with neurofibromatosis type 1 (NF1) frequently report psychosocial problems, among which internalizing and externalizing symptoms are the most poorly understood due to limited research and inconsistent evidence. This hinders the overall attendance of their psychosocial needs and has a major impact on their quality of life. Thus, this systematic review and meta-analysis was conducted to synthesize existing findings on the degree to which individuals with NF1 experience internalizing and externalizing symptoms, compared with the unaffected population, and explore moderators of the group disparities.
View Article and Find Full Text PDFSci Adv
January 2025
Institute of Pediatrics, Children's Hospital of Fudan University, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism, State Key Laboratory of Genetic Engineering, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China.
NF2-related schwannomatosis, previously known as neurofibromatosis type 2, is a genetic disorder characterized by nerve tumors due to gene mutations. Mice with deletion develop schwannomas slowly with low penetrance, hence inconvenient for preclinical studies. Here, we show that NF2, by recruiting E3 ubiquitin ligases β-TrCP1/2, promotes WWC1-3 ubiquitination and degradation.
View Article and Find Full Text PDFProtein Sci
February 2025
Computational Structural Biology Section, Frederick National Laboratory for Cancer Research in the Cancer Innovation Laboratory, National Cancer Institute, Frederick, Maryland, USA.
Neurofibromin (NF1), a Ras GTPase-activating protein (GAP), catalyzes Ras-mediated GTP hydrolysis and thereby negatively regulates the Ras/MAPK pathway. NF1 mutations can cause neurofibromatosis type 1 manifesting tumors, and neurodevelopmental disorders. Exactly how the missense mutations in the GAP-related domain of NF1 (NF1) allosterically impact NF1 GAP to promote these distinct pathologies is unclear.
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